We present results on the reconstruction of electromagnetic (EM) activity from photonsproduced in charged currentνμinteractions with final stateπ0s. We employ a fully-automatedreconstruction chain capable of identifying EM showers ofO(100) MeV energy, relying on a com-bination of traditional reconstruction techniques together with novel machine-learning approaches.These studies demonstrate good energy resolution, and good agreement between data and simula-tion, relying on the reconstructed invariantπ0mass and other photon distributions for validation.The reconstruction techniques developed are applied to a selection ofνμ+Ar→μ+π0+Xcandidate events to demonstrate the potential for calorimetric separation of photons from electronsand reconstruction ofπ0kinematics
